Authorize LangChain Tools
In this guide, we'll show you how to authorize LangChain tools like the GmailToolkit using Arcade AI.
Prerequisites
-
Install the required packages:
pip install arcade-ai langchain-openai langgraph langchain-google-community
Import the necessary packages
import os
from arcadepy import Arcade
from google.oauth2.credentials import Credentials
from langchain_google_community import GmailToolkit
from langchain_google_community.gmail.utils import build_resource_service
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agentInitialize the Arcade client
api_key = os.getenv("ARCADE_API_KEY")
client = Arcade(api_key=api_key)Start the authorization process for Gmail
user_id = "[email protected]"
auth_response = client.auth.start(
user_id=user_id,
provider="google",
scopes=["https://www.googleapis.com/auth/gmail.readonly"],
)Prompt the user to authorize
if auth_response.status != "completed":
print("Please authorize the application in your browser:")
print(auth_response.authorization_url)Wait for authorization completion
auth_response = client.auth.wait_for_completion(auth_response)Use the token to initialize the Gmail toolkit
creds = Credentials(auth_response.context.token)
api_resource = build_resource_service(credentials=creds)
toolkit = GmailToolkit(api_resource=api_resource)
tools = toolkit.get_tools()Initialize the agent
llm = ChatOpenAI(model="gpt-4o")
agent_executor = create_react_agent(llm, tools)Execute the agent
example_query = "Read my latest emails and summarize them."
events = agent_executor.stream(
{"messages": [("user", example_query)]},
stream_mode="values",
)
for event in events:
event["messages"][-1].pretty_print()Next Steps
Now you're ready to explore more LangChain tools with Arcade AI. Try integrating additional toolkits and crafting more complex queries to enhance your AI workflows.